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Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis

Overview of attention for article published in International Journal of Computer Vision, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
26 Mendeley
Title
Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis
Published in
International Journal of Computer Vision, June 2016
DOI 10.1007/s11263-016-0919-0
Authors

Cristina Palmero, Jordi Esquirol, Vanessa Bayo, Miquel Àngel Cos, Pouya Ahmadmonfared, Joan Salabert, David Sánchez, Sergio Escalera

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 15%
Student > Bachelor 4 15%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 8%
Lecturer 2 8%
Other 4 15%
Unknown 6 23%
Readers by discipline Count As %
Computer Science 6 23%
Engineering 3 12%
Sports and Recreations 2 8%
Nursing and Health Professions 2 8%
Medicine and Dentistry 2 8%
Other 4 15%
Unknown 7 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 July 2016.
All research outputs
#4,719,007
of 22,879,161 outputs
Outputs from International Journal of Computer Vision
#203
of 1,155 outputs
Outputs of similar age
#83,908
of 353,105 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 10 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,105 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.